mirror of
https://github.com/webmproject/libwebp.git
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Replace doubles by floats in lossless misc cost estimations.
Doubles are slower and use more RAM for no benefit. Change-Id: I05b313576f9b33388c7c39d7fed8de84170c3753
This commit is contained in:
Vincent Rabaud
parent
42888f6c7c
commit
a19a25bb03
@ -182,9 +182,9 @@ extern VP8LPredictorAddSubFunc VP8LPredictorsSub_C[16];
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// -----------------------------------------------------------------------------
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// Huffman-cost related functions.
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typedef double (*VP8LCostFunc)(const uint32_t* population, int length);
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typedef double (*VP8LCostCombinedFunc)(const uint32_t* X, const uint32_t* Y,
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int length);
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typedef float (*VP8LCostFunc)(const uint32_t* population, int length);
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typedef float (*VP8LCostCombinedFunc)(const uint32_t* X, const uint32_t* Y,
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int length);
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typedef float (*VP8LCombinedShannonEntropyFunc)(const int X[256],
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const int Y[256]);
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@ -198,7 +198,7 @@ typedef struct { // small struct to hold counters
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} VP8LStreaks;
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typedef struct { // small struct to hold bit entropy results
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double entropy; // entropy
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float entropy; // entropy
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uint32_t sum; // sum of the population
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int nonzeros; // number of non-zero elements in the population
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uint32_t max_val; // maximum value in the population
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@ -402,7 +402,7 @@ static float FastLog2Slow_C(uint32_t v) {
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// Compute the combined Shanon's entropy for distribution {X} and {X+Y}
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static float CombinedShannonEntropy_C(const int X[256], const int Y[256]) {
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int i;
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double retval = 0.;
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float retval = 0.f;
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int sumX = 0, sumXY = 0;
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for (i = 0; i < 256; ++i) {
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const int x = X[i];
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@ -418,7 +418,7 @@ static float CombinedShannonEntropy_C(const int X[256], const int Y[256]) {
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}
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}
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retval += VP8LFastSLog2(sumX) + VP8LFastSLog2(sumXY);
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return (float)retval;
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return retval;
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}
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void VP8LBitEntropyInit(VP8LBitEntropy* const entropy) {
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@ -636,17 +636,17 @@ void VP8LBundleColorMap_C(const uint8_t* const row, int width, int xbits,
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//------------------------------------------------------------------------------
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static double ExtraCost_C(const uint32_t* population, int length) {
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static float ExtraCost_C(const uint32_t* population, int length) {
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int i;
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double cost = 0.;
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float cost = 0.f;
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for (i = 2; i < length - 2; ++i) cost += (i >> 1) * population[i + 2];
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return cost;
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}
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static double ExtraCostCombined_C(const uint32_t* X, const uint32_t* Y,
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static float ExtraCostCombined_C(const uint32_t* X, const uint32_t* Y,
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int length) {
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int i;
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double cost = 0.;
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float cost = 0.f;
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for (i = 2; i < length - 2; ++i) {
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const int xy = X[i + 2] + Y[i + 2];
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cost += (i >> 1) * xy;
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@ -103,8 +103,8 @@ static float FastLog2Slow_MIPS32(uint32_t v) {
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// cost += i * *(pop + 1);
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// pop += 2;
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// }
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// return (double)cost;
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static double ExtraCost_MIPS32(const uint32_t* const population, int length) {
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// return (float)cost;
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static float ExtraCost_MIPS32(const uint32_t* const population, int length) {
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int i, temp0, temp1;
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const uint32_t* pop = &population[4];
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const uint32_t* const LoopEnd = &population[length];
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@ -130,7 +130,7 @@ static double ExtraCost_MIPS32(const uint32_t* const population, int length) {
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: "memory", "hi", "lo"
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);
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return (double)((int64_t)temp0 << 32 | temp1);
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return (float)((int64_t)temp0 << 32 | temp1);
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}
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// C version of this function:
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@ -148,9 +148,9 @@ static double ExtraCost_MIPS32(const uint32_t* const population, int length) {
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// pX += 2;
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// pY += 2;
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// }
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// return (double)cost;
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static double ExtraCostCombined_MIPS32(const uint32_t* const X,
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const uint32_t* const Y, int length) {
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// return (float)cost;
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static float ExtraCostCombined_MIPS32(const uint32_t* const X,
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const uint32_t* const Y, int length) {
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int i, temp0, temp1, temp2, temp3;
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const uint32_t* pX = &X[4];
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const uint32_t* pY = &Y[4];
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@ -183,7 +183,7 @@ static double ExtraCostCombined_MIPS32(const uint32_t* const X,
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: "memory", "hi", "lo"
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);
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return (double)((int64_t)temp0 << 32 | temp1);
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return (float)((int64_t)temp0 << 32 | temp1);
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}
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#define HUFFMAN_COST_PASS \
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@ -239,7 +239,7 @@ static void AddVectorEq_SSE2(const uint32_t* a, uint32_t* out, int size) {
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static float CombinedShannonEntropy_SSE2(const int X[256], const int Y[256]) {
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int i;
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double retval = 0.;
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float retval = 0.f;
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int sumX = 0, sumXY = 0;
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const __m128i zero = _mm_setzero_si128();
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@ -273,7 +273,7 @@ static float CombinedShannonEntropy_SSE2(const int X[256], const int Y[256]) {
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}
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}
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retval += VP8LFastSLog2(sumX) + VP8LFastSLog2(sumXY);
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return (float)retval;
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return retval;
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}
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#else
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@ -15,10 +15,11 @@
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//
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#include <assert.h>
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#include <float.h>
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#include "src/dsp/lossless_common.h"
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#include "src/enc/backward_references_enc.h"
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#include "src/enc/histogram_enc.h"
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#include "src/dsp/lossless_common.h"
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#include "src/utils/color_cache_utils.h"
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#include "src/utils/utils.h"
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@ -30,15 +31,15 @@ extern void VP8LBackwardRefsCursorAdd(VP8LBackwardRefs* const refs,
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const PixOrCopy v);
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typedef struct {
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double alpha_[VALUES_IN_BYTE];
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double red_[VALUES_IN_BYTE];
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double blue_[VALUES_IN_BYTE];
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double distance_[NUM_DISTANCE_CODES];
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double* literal_;
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float alpha_[VALUES_IN_BYTE];
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float red_[VALUES_IN_BYTE];
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float blue_[VALUES_IN_BYTE];
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float distance_[NUM_DISTANCE_CODES];
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float* literal_;
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} CostModel;
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static void ConvertPopulationCountTableToBitEstimates(
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int num_symbols, const uint32_t population_counts[], double output[]) {
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int num_symbols, const uint32_t population_counts[], float output[]) {
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uint32_t sum = 0;
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int nonzeros = 0;
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int i;
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@ -51,7 +52,7 @@ static void ConvertPopulationCountTableToBitEstimates(
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if (nonzeros <= 1) {
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memset(output, 0, num_symbols * sizeof(*output));
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} else {
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const double logsum = VP8LFastLog2(sum);
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const float logsum = VP8LFastLog2(sum);
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for (i = 0; i < num_symbols; ++i) {
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output[i] = logsum - VP8LFastLog2(population_counts[i]);
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}
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@ -75,8 +76,8 @@ static int CostModelBuild(CostModel* const m, int xsize, int cache_bits,
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}
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ConvertPopulationCountTableToBitEstimates(
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VP8LHistogramNumCodes(histo->palette_code_bits_),
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histo->literal_, m->literal_);
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VP8LHistogramNumCodes(histo->palette_code_bits_), histo->literal_,
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m->literal_);
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ConvertPopulationCountTableToBitEstimates(
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VALUES_IN_BYTE, histo->red_, m->red_);
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ConvertPopulationCountTableToBitEstimates(
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@ -92,27 +93,27 @@ static int CostModelBuild(CostModel* const m, int xsize, int cache_bits,
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return ok;
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}
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static WEBP_INLINE double GetLiteralCost(const CostModel* const m, uint32_t v) {
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static WEBP_INLINE float GetLiteralCost(const CostModel* const m, uint32_t v) {
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return m->alpha_[v >> 24] +
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m->red_[(v >> 16) & 0xff] +
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m->literal_[(v >> 8) & 0xff] +
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m->blue_[v & 0xff];
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}
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static WEBP_INLINE double GetCacheCost(const CostModel* const m, uint32_t idx) {
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static WEBP_INLINE float GetCacheCost(const CostModel* const m, uint32_t idx) {
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const int literal_idx = VALUES_IN_BYTE + NUM_LENGTH_CODES + idx;
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return m->literal_[literal_idx];
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}
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static WEBP_INLINE double GetLengthCost(const CostModel* const m,
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uint32_t length) {
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static WEBP_INLINE float GetLengthCost(const CostModel* const m,
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uint32_t length) {
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int code, extra_bits;
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VP8LPrefixEncodeBits(length, &code, &extra_bits);
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return m->literal_[VALUES_IN_BYTE + code] + extra_bits;
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}
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static WEBP_INLINE double GetDistanceCost(const CostModel* const m,
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uint32_t distance) {
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static WEBP_INLINE float GetDistanceCost(const CostModel* const m,
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uint32_t distance) {
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int code, extra_bits;
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VP8LPrefixEncodeBits(distance, &code, &extra_bits);
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return m->distance_[code] + extra_bits;
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@ -122,20 +123,20 @@ static WEBP_INLINE void AddSingleLiteralWithCostModel(
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const uint32_t* const argb, VP8LColorCache* const hashers,
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const CostModel* const cost_model, int idx, int use_color_cache,
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float prev_cost, float* const cost, uint16_t* const dist_array) {
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double cost_val = prev_cost;
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float cost_val = prev_cost;
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const uint32_t color = argb[idx];
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const int ix = use_color_cache ? VP8LColorCacheContains(hashers, color) : -1;
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if (ix >= 0) {
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// use_color_cache is true and hashers contains color
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const double mul0 = 0.68;
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const float mul0 = 0.68f;
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cost_val += GetCacheCost(cost_model, ix) * mul0;
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} else {
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const double mul1 = 0.82;
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const float mul1 = 0.82f;
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if (use_color_cache) VP8LColorCacheInsert(hashers, color);
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cost_val += GetLiteralCost(cost_model, color) * mul1;
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}
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if (cost[idx] > cost_val) {
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cost[idx] = (float)cost_val;
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cost[idx] = cost_val;
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dist_array[idx] = 1; // only one is inserted.
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}
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}
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@ -172,7 +173,7 @@ struct CostInterval {
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// The GetLengthCost(cost_model, k) are cached in a CostCacheInterval.
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typedef struct {
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double cost_;
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float cost_;
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int start_;
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int end_; // Exclusive.
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} CostCacheInterval;
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@ -187,7 +188,7 @@ typedef struct {
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int count_; // The number of stored intervals.
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CostCacheInterval* cache_intervals_;
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size_t cache_intervals_size_;
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double cost_cache_[MAX_LENGTH]; // Contains the GetLengthCost(cost_model, k).
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float cost_cache_[MAX_LENGTH]; // Contains the GetLengthCost(cost_model, k).
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float* costs_;
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uint16_t* dist_array_;
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// Most of the time, we only need few intervals -> use a free-list, to avoid
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@ -262,10 +263,13 @@ static int CostManagerInit(CostManager* const manager,
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CostManagerInitFreeList(manager);
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// Fill in the cost_cache_.
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manager->cache_intervals_size_ = 1;
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manager->cost_cache_[0] = GetLengthCost(cost_model, 0);
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for (i = 1; i < cost_cache_size; ++i) {
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// Has to be done in two passes due to a GCC bug on i686
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// related to https://gcc.gnu.org/bugzilla/show_bug.cgi?id=323
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for (i = 0; i < cost_cache_size; ++i) {
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manager->cost_cache_[i] = GetLengthCost(cost_model, i);
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}
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manager->cache_intervals_size_ = 1;
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for (i = 1; i < cost_cache_size; ++i) {
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// Get the number of bound intervals.
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if (manager->cost_cache_[i] != manager->cost_cache_[i - 1]) {
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++manager->cache_intervals_size_;
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@ -294,7 +298,7 @@ static int CostManagerInit(CostManager* const manager,
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cur->end_ = 1;
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cur->cost_ = manager->cost_cache_[0];
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for (i = 1; i < cost_cache_size; ++i) {
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const double cost_val = manager->cost_cache_[i];
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const float cost_val = manager->cost_cache_[i];
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if (cost_val != cur->cost_) {
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++cur;
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// Initialize an interval.
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@ -303,6 +307,8 @@ static int CostManagerInit(CostManager* const manager,
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}
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cur->end_ = i + 1;
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}
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assert((size_t)(cur - manager->cache_intervals_) + 1 ==
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manager->cache_intervals_size_);
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}
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manager->costs_ = (float*)WebPSafeMalloc(pix_count, sizeof(*manager->costs_));
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@ -311,7 +317,7 @@ static int CostManagerInit(CostManager* const manager,
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return 0;
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}
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// Set the initial costs_ high for every pixel as we will keep the minimum.
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for (i = 0; i < pix_count; ++i) manager->costs_[i] = 1e38f;
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for (i = 0; i < pix_count; ++i) manager->costs_[i] = FLT_MAX;
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return 1;
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}
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@ -457,7 +463,7 @@ static WEBP_INLINE void InsertInterval(CostManager* const manager,
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// If handling the interval or one of its subintervals becomes to heavy, its
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// contribution is added to the costs right away.
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static WEBP_INLINE void PushInterval(CostManager* const manager,
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double distance_cost, int position,
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float distance_cost, int position,
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int len) {
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size_t i;
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CostInterval* interval = manager->head_;
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@ -474,7 +480,7 @@ static WEBP_INLINE void PushInterval(CostManager* const manager,
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const int k = j - position;
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float cost_tmp;
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assert(k >= 0 && k < MAX_LENGTH);
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cost_tmp = (float)(distance_cost + manager->cost_cache_[k]);
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cost_tmp = distance_cost + manager->cost_cache_[k];
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if (manager->costs_[j] > cost_tmp) {
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manager->costs_[j] = cost_tmp;
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@ -492,7 +498,7 @@ static WEBP_INLINE void PushInterval(CostManager* const manager,
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const int end = position + (cost_cache_intervals[i].end_ > len
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? len
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: cost_cache_intervals[i].end_);
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const float cost = (float)(distance_cost + cost_cache_intervals[i].cost_);
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const float cost = distance_cost + cost_cache_intervals[i].cost_;
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for (; interval != NULL && interval->start_ < end;
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interval = interval_next) {
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@ -570,8 +576,7 @@ static int BackwardReferencesHashChainDistanceOnly(
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const int pix_count = xsize * ysize;
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const int use_color_cache = (cache_bits > 0);
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const size_t literal_array_size =
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sizeof(double) * (NUM_LITERAL_CODES + NUM_LENGTH_CODES +
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((cache_bits > 0) ? (1 << cache_bits) : 0));
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sizeof(float) * (VP8LHistogramNumCodes(cache_bits));
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const size_t cost_model_size = sizeof(CostModel) + literal_array_size;
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CostModel* const cost_model =
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(CostModel*)WebPSafeCalloc(1ULL, cost_model_size);
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@ -579,13 +584,13 @@ static int BackwardReferencesHashChainDistanceOnly(
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CostManager* cost_manager =
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(CostManager*)WebPSafeCalloc(1ULL, sizeof(*cost_manager));
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int offset_prev = -1, len_prev = -1;
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double offset_cost = -1;
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float offset_cost = -1.f;
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int first_offset_is_constant = -1; // initialized with 'impossible' value
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int reach = 0;
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if (cost_model == NULL || cost_manager == NULL) goto Error;
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cost_model->literal_ = (double*)(cost_model + 1);
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cost_model->literal_ = (float*)(cost_model + 1);
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if (use_color_cache) {
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cc_init = VP8LColorCacheInit(&hashers, cache_bits);
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if (!cc_init) goto Error;
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@ -759,7 +759,7 @@ static int CalculateBestCacheSize(const uint32_t* argb, int quality,
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int* const best_cache_bits) {
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int i;
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const int cache_bits_max = (quality <= 25) ? 0 : *best_cache_bits;
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double entropy_min = MAX_ENTROPY;
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float entropy_min = MAX_ENTROPY;
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int cc_init[MAX_COLOR_CACHE_BITS + 1] = { 0 };
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VP8LColorCache hashers[MAX_COLOR_CACHE_BITS + 1];
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VP8LRefsCursor c = VP8LRefsCursorInit(refs);
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@ -844,7 +844,7 @@ static int CalculateBestCacheSize(const uint32_t* argb, int quality,
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}
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for (i = 0; i <= cache_bits_max; ++i) {
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const double entropy = VP8LHistogramEstimateBits(histos[i]);
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const float entropy = VP8LHistogramEstimateBits(histos[i]);
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if (i == 0 || entropy < entropy_min) {
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entropy_min = entropy;
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*best_cache_bits = i;
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@ -921,7 +921,7 @@ static int GetBackwardReferences(int width, int height,
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int i, lz77_type;
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// Index 0 is for a color cache, index 1 for no cache (if needed).
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int lz77_types_best[2] = {0, 0};
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double bit_costs_best[2] = {DBL_MAX, DBL_MAX};
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float bit_costs_best[2] = {FLT_MAX, FLT_MAX};
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VP8LHashChain hash_chain_box;
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VP8LBackwardRefs* const refs_tmp = &refs[do_no_cache ? 2 : 1];
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int status = 0;
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@ -933,7 +933,7 @@ static int GetBackwardReferences(int width, int height,
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for (lz77_type = 1; lz77_types_to_try;
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lz77_types_to_try &= ~lz77_type, lz77_type <<= 1) {
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int res = 0;
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double bit_cost = 0.;
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float bit_cost = 0.f;
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if ((lz77_types_to_try & lz77_type) == 0) continue;
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switch (lz77_type) {
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case kLZ77RLE:
|
||||
@ -1007,7 +1007,7 @@ static int GetBackwardReferences(int width, int height,
|
||||
const VP8LHashChain* const hash_chain_tmp =
|
||||
(lz77_types_best[i] == kLZ77Standard) ? hash_chain : &hash_chain_box;
|
||||
const int cache_bits = (i == 1) ? 0 : *cache_bits_best;
|
||||
double bit_cost_trace;
|
||||
float bit_cost_trace;
|
||||
if (!VP8LBackwardReferencesTraceBackwards(width, height, argb, cache_bits,
|
||||
hash_chain_tmp, &refs[i],
|
||||
refs_tmp)) {
|
||||
|
||||
@ -13,6 +13,7 @@
|
||||
#include "src/webp/config.h"
|
||||
#endif
|
||||
|
||||
#include <float.h>
|
||||
#include <math.h>
|
||||
|
||||
#include "src/dsp/lossless.h"
|
||||
@ -22,7 +23,7 @@
|
||||
#include "src/enc/vp8i_enc.h"
|
||||
#include "src/utils/utils.h"
|
||||
|
||||
#define MAX_BIT_COST 1.e38
|
||||
#define MAX_BIT_COST FLT_MAX
|
||||
|
||||
// Number of partitions for the three dominant (literal, red and blue) symbol
|
||||
// costs.
|
||||
@ -229,8 +230,8 @@ void VP8LHistogramAddSinglePixOrCopy(VP8LHistogram* const histo,
|
||||
// -----------------------------------------------------------------------------
|
||||
// Entropy-related functions.
|
||||
|
||||
static WEBP_INLINE double BitsEntropyRefine(const VP8LBitEntropy* entropy) {
|
||||
double mix;
|
||||
static WEBP_INLINE float BitsEntropyRefine(const VP8LBitEntropy* entropy) {
|
||||
float mix;
|
||||
if (entropy->nonzeros < 5) {
|
||||
if (entropy->nonzeros <= 1) {
|
||||
return 0;
|
||||
@ -239,67 +240,67 @@ static WEBP_INLINE double BitsEntropyRefine(const VP8LBitEntropy* entropy) {
|
||||
// Let's mix in a bit of entropy to favor good clustering when
|
||||
// distributions of these are combined.
|
||||
if (entropy->nonzeros == 2) {
|
||||
return 0.99 * entropy->sum + 0.01 * entropy->entropy;
|
||||
return 0.99f * entropy->sum + 0.01f * entropy->entropy;
|
||||
}
|
||||
// No matter what the entropy says, we cannot be better than min_limit
|
||||
// with Huffman coding. I am mixing a bit of entropy into the
|
||||
// min_limit since it produces much better (~0.5 %) compression results
|
||||
// perhaps because of better entropy clustering.
|
||||
if (entropy->nonzeros == 3) {
|
||||
mix = 0.95;
|
||||
mix = 0.95f;
|
||||
} else {
|
||||
mix = 0.7; // nonzeros == 4.
|
||||
mix = 0.7f; // nonzeros == 4.
|
||||
}
|
||||
} else {
|
||||
mix = 0.627;
|
||||
mix = 0.627f;
|
||||
}
|
||||
|
||||
{
|
||||
double min_limit = 2 * entropy->sum - entropy->max_val;
|
||||
min_limit = mix * min_limit + (1.0 - mix) * entropy->entropy;
|
||||
float min_limit = 2 * entropy->sum - entropy->max_val;
|
||||
min_limit = mix * min_limit + (1.f - mix) * entropy->entropy;
|
||||
return (entropy->entropy < min_limit) ? min_limit : entropy->entropy;
|
||||
}
|
||||
}
|
||||
|
||||
double VP8LBitsEntropy(const uint32_t* const array, int n) {
|
||||
float VP8LBitsEntropy(const uint32_t* const array, int n) {
|
||||
VP8LBitEntropy entropy;
|
||||
VP8LBitsEntropyUnrefined(array, n, &entropy);
|
||||
|
||||
return BitsEntropyRefine(&entropy);
|
||||
}
|
||||
|
||||
static double InitialHuffmanCost(void) {
|
||||
static float InitialHuffmanCost(void) {
|
||||
// Small bias because Huffman code length is typically not stored in
|
||||
// full length.
|
||||
static const int kHuffmanCodeOfHuffmanCodeSize = CODE_LENGTH_CODES * 3;
|
||||
static const double kSmallBias = 9.1;
|
||||
static const float kSmallBias = 9.1f;
|
||||
return kHuffmanCodeOfHuffmanCodeSize - kSmallBias;
|
||||
}
|
||||
|
||||
// Finalize the Huffman cost based on streak numbers and length type (<3 or >=3)
|
||||
static double FinalHuffmanCost(const VP8LStreaks* const stats) {
|
||||
static float FinalHuffmanCost(const VP8LStreaks* const stats) {
|
||||
// The constants in this function are experimental and got rounded from
|
||||
// their original values in 1/8 when switched to 1/1024.
|
||||
double retval = InitialHuffmanCost();
|
||||
float retval = InitialHuffmanCost();
|
||||
// Second coefficient: Many zeros in the histogram are covered efficiently
|
||||
// by a run-length encode. Originally 2/8.
|
||||
retval += stats->counts[0] * 1.5625 + 0.234375 * stats->streaks[0][1];
|
||||
retval += stats->counts[0] * 1.5625f + 0.234375f * stats->streaks[0][1];
|
||||
// Second coefficient: Constant values are encoded less efficiently, but still
|
||||
// RLE'ed. Originally 6/8.
|
||||
retval += stats->counts[1] * 2.578125 + 0.703125 * stats->streaks[1][1];
|
||||
retval += stats->counts[1] * 2.578125f + 0.703125f * stats->streaks[1][1];
|
||||
// 0s are usually encoded more efficiently than non-0s.
|
||||
// Originally 15/8.
|
||||
retval += 1.796875 * stats->streaks[0][0];
|
||||
retval += 1.796875f * stats->streaks[0][0];
|
||||
// Originally 26/8.
|
||||
retval += 3.28125 * stats->streaks[1][0];
|
||||
retval += 3.28125f * stats->streaks[1][0];
|
||||
return retval;
|
||||
}
|
||||
|
||||
// Get the symbol entropy for the distribution 'population'.
|
||||
// Set 'trivial_sym', if there's only one symbol present in the distribution.
|
||||
static double PopulationCost(const uint32_t* const population, int length,
|
||||
uint32_t* const trivial_sym,
|
||||
uint8_t* const is_used) {
|
||||
static float PopulationCost(const uint32_t* const population, int length,
|
||||
uint32_t* const trivial_sym,
|
||||
uint8_t* const is_used) {
|
||||
VP8LBitEntropy bit_entropy;
|
||||
VP8LStreaks stats;
|
||||
VP8LGetEntropyUnrefined(population, length, &bit_entropy, &stats);
|
||||
@ -315,11 +316,10 @@ static double PopulationCost(const uint32_t* const population, int length,
|
||||
|
||||
// trivial_at_end is 1 if the two histograms only have one element that is
|
||||
// non-zero: both the zero-th one, or both the last one.
|
||||
static WEBP_INLINE double GetCombinedEntropy(const uint32_t* const X,
|
||||
const uint32_t* const Y,
|
||||
int length, int is_X_used,
|
||||
int is_Y_used,
|
||||
int trivial_at_end) {
|
||||
static WEBP_INLINE float GetCombinedEntropy(const uint32_t* const X,
|
||||
const uint32_t* const Y, int length,
|
||||
int is_X_used, int is_Y_used,
|
||||
int trivial_at_end) {
|
||||
VP8LStreaks stats;
|
||||
if (trivial_at_end) {
|
||||
// This configuration is due to palettization that transforms an indexed
|
||||
@ -357,7 +357,7 @@ static WEBP_INLINE double GetCombinedEntropy(const uint32_t* const X,
|
||||
}
|
||||
|
||||
// Estimates the Entropy + Huffman + other block overhead size cost.
|
||||
double VP8LHistogramEstimateBits(VP8LHistogram* const p) {
|
||||
float VP8LHistogramEstimateBits(VP8LHistogram* const p) {
|
||||
return
|
||||
PopulationCost(p->literal_, VP8LHistogramNumCodes(p->palette_code_bits_),
|
||||
NULL, &p->is_used_[0])
|
||||
@ -374,8 +374,7 @@ double VP8LHistogramEstimateBits(VP8LHistogram* const p) {
|
||||
|
||||
static int GetCombinedHistogramEntropy(const VP8LHistogram* const a,
|
||||
const VP8LHistogram* const b,
|
||||
double cost_threshold,
|
||||
double* cost) {
|
||||
float cost_threshold, float* cost) {
|
||||
const int palette_code_bits = a->palette_code_bits_;
|
||||
int trivial_at_end = 0;
|
||||
assert(a->palette_code_bits_ == b->palette_code_bits_);
|
||||
@ -440,12 +439,11 @@ static WEBP_INLINE void HistogramAdd(const VP8LHistogram* const a,
|
||||
// Since the previous score passed is 'cost_threshold', we only need to compare
|
||||
// the partial cost against 'cost_threshold + C(a) + C(b)' to possibly bail-out
|
||||
// early.
|
||||
static double HistogramAddEval(const VP8LHistogram* const a,
|
||||
const VP8LHistogram* const b,
|
||||
VP8LHistogram* const out,
|
||||
double cost_threshold) {
|
||||
double cost = 0;
|
||||
const double sum_cost = a->bit_cost_ + b->bit_cost_;
|
||||
static float HistogramAddEval(const VP8LHistogram* const a,
|
||||
const VP8LHistogram* const b,
|
||||
VP8LHistogram* const out, float cost_threshold) {
|
||||
float cost = 0;
|
||||
const float sum_cost = a->bit_cost_ + b->bit_cost_;
|
||||
cost_threshold += sum_cost;
|
||||
|
||||
if (GetCombinedHistogramEntropy(a, b, cost_threshold, &cost)) {
|
||||
@ -460,10 +458,10 @@ static double HistogramAddEval(const VP8LHistogram* const a,
|
||||
// Same as HistogramAddEval(), except that the resulting histogram
|
||||
// is not stored. Only the cost C(a+b) - C(a) is evaluated. We omit
|
||||
// the term C(b) which is constant over all the evaluations.
|
||||
static double HistogramAddThresh(const VP8LHistogram* const a,
|
||||
const VP8LHistogram* const b,
|
||||
double cost_threshold) {
|
||||
double cost;
|
||||
static float HistogramAddThresh(const VP8LHistogram* const a,
|
||||
const VP8LHistogram* const b,
|
||||
float cost_threshold) {
|
||||
float cost;
|
||||
assert(a != NULL && b != NULL);
|
||||
cost = -a->bit_cost_;
|
||||
GetCombinedHistogramEntropy(a, b, cost_threshold, &cost);
|
||||
@ -474,15 +472,13 @@ static double HistogramAddThresh(const VP8LHistogram* const a,
|
||||
|
||||
// The structure to keep track of cost range for the three dominant entropy
|
||||
// symbols.
|
||||
// TODO(skal): Evaluate if float can be used here instead of double for
|
||||
// representing the entropy costs.
|
||||
typedef struct {
|
||||
double literal_max_;
|
||||
double literal_min_;
|
||||
double red_max_;
|
||||
double red_min_;
|
||||
double blue_max_;
|
||||
double blue_min_;
|
||||
float literal_max_;
|
||||
float literal_min_;
|
||||
float red_max_;
|
||||
float red_min_;
|
||||
float blue_max_;
|
||||
float blue_min_;
|
||||
} DominantCostRange;
|
||||
|
||||
static void DominantCostRangeInit(DominantCostRange* const c) {
|
||||
@ -506,10 +502,9 @@ static void UpdateDominantCostRange(
|
||||
|
||||
static void UpdateHistogramCost(VP8LHistogram* const h) {
|
||||
uint32_t alpha_sym, red_sym, blue_sym;
|
||||
const double alpha_cost =
|
||||
PopulationCost(h->alpha_, NUM_LITERAL_CODES, &alpha_sym,
|
||||
&h->is_used_[3]);
|
||||
const double distance_cost =
|
||||
const float alpha_cost =
|
||||
PopulationCost(h->alpha_, NUM_LITERAL_CODES, &alpha_sym, &h->is_used_[3]);
|
||||
const float distance_cost =
|
||||
PopulationCost(h->distance_, NUM_DISTANCE_CODES, NULL, &h->is_used_[4]) +
|
||||
VP8LExtraCost(h->distance_, NUM_DISTANCE_CODES);
|
||||
const int num_codes = VP8LHistogramNumCodes(h->palette_code_bits_);
|
||||
@ -530,10 +525,10 @@ static void UpdateHistogramCost(VP8LHistogram* const h) {
|
||||
}
|
||||
}
|
||||
|
||||
static int GetBinIdForEntropy(double min, double max, double val) {
|
||||
const double range = max - min;
|
||||
static int GetBinIdForEntropy(float min, float max, float val) {
|
||||
const float range = max - min;
|
||||
if (range > 0.) {
|
||||
const double delta = val - min;
|
||||
const float delta = val - min;
|
||||
return (int)((NUM_PARTITIONS - 1e-6) * delta / range);
|
||||
} else {
|
||||
return 0;
|
||||
@ -642,15 +637,11 @@ static void HistogramAnalyzeEntropyBin(VP8LHistogramSet* const image_histo,
|
||||
|
||||
// Merges some histograms with same bin_id together if it's advantageous.
|
||||
// Sets the remaining histograms to NULL.
|
||||
static void HistogramCombineEntropyBin(VP8LHistogramSet* const image_histo,
|
||||
int* num_used,
|
||||
const uint16_t* const clusters,
|
||||
uint16_t* const cluster_mappings,
|
||||
VP8LHistogram* cur_combo,
|
||||
const uint16_t* const bin_map,
|
||||
int num_bins,
|
||||
double combine_cost_factor,
|
||||
int low_effort) {
|
||||
static void HistogramCombineEntropyBin(
|
||||
VP8LHistogramSet* const image_histo, int* num_used,
|
||||
const uint16_t* const clusters, uint16_t* const cluster_mappings,
|
||||
VP8LHistogram* cur_combo, const uint16_t* const bin_map, int num_bins,
|
||||
float combine_cost_factor, int low_effort) {
|
||||
VP8LHistogram** const histograms = image_histo->histograms;
|
||||
int idx;
|
||||
struct {
|
||||
@ -680,11 +671,10 @@ static void HistogramCombineEntropyBin(VP8LHistogramSet* const image_histo,
|
||||
cluster_mappings[clusters[idx]] = clusters[first];
|
||||
} else {
|
||||
// try to merge #idx into #first (both share the same bin_id)
|
||||
const double bit_cost = histograms[idx]->bit_cost_;
|
||||
const double bit_cost_thresh = -bit_cost * combine_cost_factor;
|
||||
const double curr_cost_diff =
|
||||
HistogramAddEval(histograms[first], histograms[idx],
|
||||
cur_combo, bit_cost_thresh);
|
||||
const float bit_cost = histograms[idx]->bit_cost_;
|
||||
const float bit_cost_thresh = -bit_cost * combine_cost_factor;
|
||||
const float curr_cost_diff = HistogramAddEval(
|
||||
histograms[first], histograms[idx], cur_combo, bit_cost_thresh);
|
||||
if (curr_cost_diff < bit_cost_thresh) {
|
||||
// Try to merge two histograms only if the combo is a trivial one or
|
||||
// the two candidate histograms are already non-trivial.
|
||||
@ -732,8 +722,8 @@ static uint32_t MyRand(uint32_t* const seed) {
|
||||
typedef struct {
|
||||
int idx1;
|
||||
int idx2;
|
||||
double cost_diff;
|
||||
double cost_combo;
|
||||
float cost_diff;
|
||||
float cost_combo;
|
||||
} HistogramPair;
|
||||
|
||||
typedef struct {
|
||||
@ -788,10 +778,9 @@ static void HistoQueueUpdateHead(HistoQueue* const histo_queue,
|
||||
// Update the cost diff and combo of a pair of histograms. This needs to be
|
||||
// called when the the histograms have been merged with a third one.
|
||||
static void HistoQueueUpdatePair(const VP8LHistogram* const h1,
|
||||
const VP8LHistogram* const h2,
|
||||
double threshold,
|
||||
const VP8LHistogram* const h2, float threshold,
|
||||
HistogramPair* const pair) {
|
||||
const double sum_cost = h1->bit_cost_ + h2->bit_cost_;
|
||||
const float sum_cost = h1->bit_cost_ + h2->bit_cost_;
|
||||
pair->cost_combo = 0.;
|
||||
GetCombinedHistogramEntropy(h1, h2, sum_cost + threshold, &pair->cost_combo);
|
||||
pair->cost_diff = pair->cost_combo - sum_cost;
|
||||
@ -800,9 +789,9 @@ static void HistoQueueUpdatePair(const VP8LHistogram* const h1,
|
||||
// Create a pair from indices "idx1" and "idx2" provided its cost
|
||||
// is inferior to "threshold", a negative entropy.
|
||||
// It returns the cost of the pair, or 0. if it superior to threshold.
|
||||
static double HistoQueuePush(HistoQueue* const histo_queue,
|
||||
VP8LHistogram** const histograms, int idx1,
|
||||
int idx2, double threshold) {
|
||||
static float HistoQueuePush(HistoQueue* const histo_queue,
|
||||
VP8LHistogram** const histograms, int idx1,
|
||||
int idx2, float threshold) {
|
||||
const VP8LHistogram* h1;
|
||||
const VP8LHistogram* h2;
|
||||
HistogramPair pair;
|
||||
@ -946,8 +935,8 @@ static int HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
|
||||
++tries_with_no_success < num_tries_no_success;
|
||||
++iter) {
|
||||
int* mapping_index;
|
||||
double best_cost =
|
||||
(histo_queue.size == 0) ? 0. : histo_queue.queue[0].cost_diff;
|
||||
float best_cost =
|
||||
(histo_queue.size == 0) ? 0.f : histo_queue.queue[0].cost_diff;
|
||||
int best_idx1 = -1, best_idx2 = 1;
|
||||
const uint32_t rand_range = (*num_used - 1) * (*num_used);
|
||||
// (*num_used) / 2 was chosen empirically. Less means faster but worse
|
||||
@ -956,7 +945,7 @@ static int HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
|
||||
|
||||
// Pick random samples.
|
||||
for (j = 0; *num_used >= 2 && j < num_tries; ++j) {
|
||||
double curr_cost;
|
||||
float curr_cost;
|
||||
// Choose two different histograms at random and try to combine them.
|
||||
const uint32_t tmp = MyRand(&seed) % rand_range;
|
||||
uint32_t idx1 = tmp / (*num_used - 1);
|
||||
@ -1058,7 +1047,7 @@ static void HistogramRemap(const VP8LHistogramSet* const in,
|
||||
if (out_size > 1) {
|
||||
for (i = 0; i < in_size; ++i) {
|
||||
int best_out = 0;
|
||||
double best_bits = MAX_BIT_COST;
|
||||
float best_bits = MAX_BIT_COST;
|
||||
int k;
|
||||
if (in_histo[i] == NULL) {
|
||||
// Arbitrarily set to the previous value if unused to help future LZ77.
|
||||
@ -1066,7 +1055,7 @@ static void HistogramRemap(const VP8LHistogramSet* const in,
|
||||
continue;
|
||||
}
|
||||
for (k = 0; k < out_size; ++k) {
|
||||
double cur_bits;
|
||||
float cur_bits;
|
||||
cur_bits = HistogramAddThresh(out_histo[k], in_histo[i], best_bits);
|
||||
if (k == 0 || cur_bits < best_bits) {
|
||||
best_bits = cur_bits;
|
||||
@ -1094,13 +1083,13 @@ static void HistogramRemap(const VP8LHistogramSet* const in,
|
||||
}
|
||||
}
|
||||
|
||||
static double GetCombineCostFactor(int histo_size, int quality) {
|
||||
double combine_cost_factor = 0.16;
|
||||
static float GetCombineCostFactor(int histo_size, int quality) {
|
||||
float combine_cost_factor = 0.16f;
|
||||
if (quality < 90) {
|
||||
if (histo_size > 256) combine_cost_factor /= 2.;
|
||||
if (histo_size > 512) combine_cost_factor /= 2.;
|
||||
if (histo_size > 1024) combine_cost_factor /= 2.;
|
||||
if (quality <= 50) combine_cost_factor /= 2.;
|
||||
if (histo_size > 256) combine_cost_factor /= 2.f;
|
||||
if (histo_size > 512) combine_cost_factor /= 2.f;
|
||||
if (histo_size > 1024) combine_cost_factor /= 2.f;
|
||||
if (quality <= 50) combine_cost_factor /= 2.f;
|
||||
}
|
||||
return combine_cost_factor;
|
||||
}
|
||||
@ -1210,7 +1199,7 @@ int VP8LGetHistoImageSymbols(int xsize, int ysize,
|
||||
|
||||
if (entropy_combine) {
|
||||
uint16_t* const bin_map = map_tmp;
|
||||
const double combine_cost_factor =
|
||||
const float combine_cost_factor =
|
||||
GetCombineCostFactor(image_histo_raw_size, quality);
|
||||
const uint32_t num_clusters = num_used;
|
||||
|
||||
|
||||
@ -40,10 +40,10 @@ typedef struct {
|
||||
int palette_code_bits_;
|
||||
uint32_t trivial_symbol_; // True, if histograms for Red, Blue & Alpha
|
||||
// literal symbols are single valued.
|
||||
double bit_cost_; // cached value of bit cost.
|
||||
double literal_cost_; // Cached values of dominant entropy costs:
|
||||
double red_cost_; // literal, red & blue.
|
||||
double blue_cost_;
|
||||
float bit_cost_; // cached value of bit cost.
|
||||
float literal_cost_; // Cached values of dominant entropy costs:
|
||||
float red_cost_; // literal, red & blue.
|
||||
float blue_cost_;
|
||||
uint8_t is_used_[5]; // 5 for literal, red, blue, alpha, distance
|
||||
} VP8LHistogram;
|
||||
|
||||
@ -117,11 +117,11 @@ int VP8LGetHistoImageSymbols(int xsize, int ysize,
|
||||
int* const percent);
|
||||
|
||||
// Returns the entropy for the symbols in the input array.
|
||||
double VP8LBitsEntropy(const uint32_t* const array, int n);
|
||||
float VP8LBitsEntropy(const uint32_t* const array, int n);
|
||||
|
||||
// Estimate how many bits the combined entropy of literals and distance
|
||||
// approximately maps to.
|
||||
double VP8LHistogramEstimateBits(VP8LHistogram* const p);
|
||||
float VP8LHistogramEstimateBits(VP8LHistogram* const p);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
|
||||
@ -32,10 +32,10 @@ static WEBP_INLINE int GetMin(int a, int b) { return (a > b) ? b : a; }
|
||||
// Methods to calculate Entropy (Shannon).
|
||||
|
||||
static float PredictionCostSpatial(const int counts[256], int weight_0,
|
||||
double exp_val) {
|
||||
float exp_val) {
|
||||
const int significant_symbols = 256 >> 4;
|
||||
const double exp_decay_factor = 0.6;
|
||||
double bits = weight_0 * counts[0];
|
||||
const float exp_decay_factor = 0.6f;
|
||||
float bits = weight_0 * counts[0];
|
||||
int i;
|
||||
for (i = 1; i < significant_symbols; ++i) {
|
||||
bits += exp_val * (counts[i] + counts[256 - i]);
|
||||
@ -47,9 +47,9 @@ static float PredictionCostSpatial(const int counts[256], int weight_0,
|
||||
static float PredictionCostSpatialHistogram(const int accumulated[4][256],
|
||||
const int tile[4][256]) {
|
||||
int i;
|
||||
double retval = 0;
|
||||
float retval = 0.f;
|
||||
for (i = 0; i < 4; ++i) {
|
||||
const double kExpValue = 0.94;
|
||||
const float kExpValue = 0.94f;
|
||||
retval += PredictionCostSpatial(tile[i], 1, kExpValue);
|
||||
retval += VP8LCombinedShannonEntropy(tile[i], accumulated[i]);
|
||||
}
|
||||
@ -543,7 +543,7 @@ static float PredictionCostCrossColor(const int accumulated[256],
|
||||
const int counts[256]) {
|
||||
// Favor low entropy, locally and globally.
|
||||
// Favor small absolute values for PredictionCostSpatial
|
||||
static const double kExpValue = 2.4;
|
||||
static const float kExpValue = 2.4f;
|
||||
return VP8LCombinedShannonEntropy(counts, accumulated) +
|
||||
PredictionCostSpatial(counts, 3, kExpValue);
|
||||
}
|
||||
|
||||
@ -438,8 +438,8 @@ static int AnalyzeEntropy(const uint32_t* argb,
|
||||
curr_row += argb_stride;
|
||||
}
|
||||
{
|
||||
double entropy_comp[kHistoTotal];
|
||||
double entropy[kNumEntropyIx];
|
||||
float entropy_comp[kHistoTotal];
|
||||
float entropy[kNumEntropyIx];
|
||||
int k;
|
||||
int last_mode_to_analyze = use_palette ? kPalette : kSpatialSubGreen;
|
||||
int j;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user